Practical Time Series Analysis

Practical Time Series Analysis

Enregistré dans:

Détails bibliographiques
Auteur principal:	Pal, Dr. Avishek. (Auteur)
Autres auteurs:	Prakash, Dr. Pks. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Analysis of Time Series An Introduction
par: Chatfield, Chris.

Time series analysis : forecasting and control.
par: Box, George E. P.
Publié: (1994)

Time series analysis : univariate and multivariate methods
par: Wei, William W. S.
Publié: (1990)

Hands-On Time Series Analysis with R : Hands-On Time Series Analysis with R
par: Krispin, Rami.
Publié: (2019)

New directions in time series analysis.
Publié: (1992)

Applied time series analysis II
Publié: (1981)

Elements of multivariate time series analysis
par: Reinsel, Gregory C.
Publié: (1993)

Time Series Analysis on AWS : Learn how to build forecasting models and detect anomalies in your time series data
par: Hoarau, Michael.
Publié: (2022)

Time Series Analysis with Python Cookbook : Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
par: Atwan, Tarek A..
Publié: (2022)

Robust and Nonlinear Time Series Analysis : proceedings of a workshop
Publié: (1984)

Spatial processes and spatial time series analysis : Proceedings
par: Droesbeke, Fernand.
Publié: (1987)

Time-series
par: Kendall, M. G.
Publié: (1973)

Time series : forecasting, simulation, applications
par: Janacek, Gareth.
Publié: (1993)

Time Series Indexing : Implement iSAX in Python to index time series with confidence
par: Tsoukalos, Mihalis.

Nonlinear time series : nonparametric and parametric methods
par: Jianqing, Fan.
Publié: (2003)

Modelling financial time series
par: Taylor, Stephen.
Publié: (1986)

Practical Data Analysis
par: Cuesta, Hector.
Publié: (2016)

Complexity of seismic time series : measurement and application
Publié: (2018)

Statistical analysis of stochastic processes in time
par: Lindsey, James K.
Publié: (2004)

Reliability modelling and analysis in discrete time
par: Nair, Unnikrishnan.
Publié: (2018)

Time Series Predictive Control in Robotics
par: Liu, Hui.

Practical Data Analysis Cookbook
par: Drabas, Tomasz.
Publié: (2016)

Forecasting Time Series Data with Prophet : Build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool
par: Rafferty, Greg.

Modern Time Series Forecasting with Python : Explore industry-ready time series forecasting using modern machine learning and deep learning
par: Joseph, Manu (19..-....).

Time-Frequency Signal Analysis and Processing : A Comprehensive Reference
par: Boashash, Boualem (19..-....).
Publié: (2015)

Machine learning for time series forecasting with Python
par: Lazzeri, Francesca (19..-....).

Practical Real-time Data Processing and Analytics
par: Saxena, Shilpi.
Publié: (2017)

Analysis and synthesis of polynomial discrete-time systems : an SOS spproach
par: Saat, Mohd Shakir.
Publié: (2017)

Multifractal Analysis in Hydrology Application to Time Series
par: Bernardara, Pietro.

Analysis for time-to-event data under censoring and truncation
par: Dai, Hongsheng.
Publié: (2016)

Analysis of response time distributions in the study of cognitive processes
par: Hockley, J.
Publié: (1984)

Forecasting, structural time series models and the Kalman filter
par: Harvey, Andrew C.
Publié: (1992)

Practical Machinery Vibration Analysis and Predictive Maintenance
par: Scheffer, Cornelius.
Publié: (2004)

Machine Learning for Time-Series with Python : Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
par: Auffarth, Ben.
Publié: (2021)

Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
par: Cerqueira, Vitor.

Practical issues in collecting life-time work histories in surveys
par: Campanelli, Pamela.
Publié: (1994)

A Practical Guide to Gas Analysis by Gas Chromatography
par: Swinley, John.
Publié: (2019)

Practical machine learning for data analysis using Python
par: Subasi, Abdulhamit (19..-....).
Publié: (2020)

Time Series Forecasting using Deep Learning : Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
par: Gridin, Ivan.

Survival analysis using S : analysis of time-to-event data
par: Tableman, Mara.
Publié: (2003)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1